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Contents of 41(2) 2013 - acharya ng ranga agricultural university

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Research Notes<br />

J.Res. ANGRAU 41(2) 153-157, 2013<br />

CHARACTER ASSOCIATION AND PATH COEFFICIENT ANALYSIS FOR SEED<br />

YIELD IN QUALITY PROTEIN MAIZE Zea mays L.<br />

K. VIJAY KUMAR, M. R. SUDARSHAN, KULDEEP SINGH DANGI and S. MADHUSUDAN REDDY<br />

Department of Genetics and Plant breeding, College of Agriculture,<br />

Acharya N.G. Ranga Agricultural University, Rajendranagar, Hyderabad-500030<br />

Date of Receipt : 21.02.2013 Date of Acceptance : 25.07.2013<br />

Maize Zea mays L. is an important cereal<br />

crop, next to wheat and rice and it is staple food in<br />

many developing countries (Morries et al 1999).<br />

Maize crop is of great significance due to its demand<br />

for food, feed and industrial utilization. It plays an<br />

important role in world economy and trade. Since<br />

maize protein lacks two essential amino acids lysine<br />

and tryptophan and protein deficiency is characterized<br />

by many growth and health related complications in<br />

humans. Therefore, considerable importance has<br />

been given to Quality Protein Maize (QPM) breeding.<br />

The material for the present study comprised<br />

of sixty three quality protein maize genotypes<br />

(numbered BQML-101 to BQML-163) that were<br />

obtained from Maize Research Centre, Agricultural<br />

Research Institute, Rajendranagar, Hyderabad. The<br />

experiment was carried out at College Farm, College<br />

of Agriculture, ANGRAU, Rajendranagar, Hyderabad<br />

during rabi 2008-09 in a randomized block design with<br />

three replications. Each genotype in each replication<br />

consisted of a single row of fifteen plants with a<br />

spacing of 75cm X 20 cm. Five representative plants<br />

were selected at random from each line and<br />

observations were recorded on each plant for sixteen<br />

traits viz., days to 50 per cent tasseling, days to 50<br />

per cent silking, plant height, ear height, days to<br />

maturity, ear length, ear girth, number of kernel rows<br />

per ear, number of kernel per row, 100-seed weight<br />

(g), ear weight (g), shelling (%), protein content (%),<br />

oil content (%), starch content (%) and grain yield<br />

per plant (g). The correlation coefficients were<br />

calculated as per the method suggested by Johnson<br />

et al. (1955). Path analysis was worked out as per<br />

method suggested by Deway and Lu (1959).<br />

The Correlation coefficients between yield,<br />

its component characters and quality parameters are<br />

presented in Table 1. In this study the values of<br />

correlation coefficients indicated that in general, the<br />

magnitude of genotypic correlation coefficients were<br />

higher than phenotypic correlation coefficients for all<br />

the traits which implied negligible influence of<br />

environmental factors and strong inherent association<br />

between the traits. Grain yield was significantly and<br />

positively correlated with ear weight, number of<br />

kernels per row, ear girth, shelling per cent, 100 seed<br />

weight, number of kernel rows per ear, ear length<br />

and oil content, while days to 50 per cent tasseling,<br />

days to 50 per cent silking, and days to maturity had<br />

negative association with grain yield. The remaining<br />

characters, plant height, ear height, protein content<br />

and starch content did not indicate any association<br />

with seed yield. This indicated that seed yield can<br />

be improved by making selection on the basis of ear<br />

weight, number of kernels per row, ear girth, shelling<br />

per cent, 100 seed weight, number of kernel rows<br />

per ear, ear length and oil content. The traits ear<br />

weight, number of kernels per row, ear girth, shelling<br />

per cent, number of kernel rows per ear and 100 seed<br />

weight which had strong positive correlation with seed<br />

yield could be exploited in breeding programmes.<br />

Similar results were reported by Jayakumar et al<br />

(2007), Hemavathy et al (2008) and Shinde et al<br />

(2009).<br />

Path coefficient analysis that partitions the<br />

correlation coefficient into direct and indirect effects<br />

was worked out and is presented in Table 2. Among<br />

the characters studied, days to 50% silking, ear<br />

height, oil content and starch content had negative<br />

direct effect on grain yield and the remaining<br />

characters had positive direct effect. The character,<br />

ear weight had the highest direct effect on seed yield<br />

and it was followed by days to 50% silking and<br />

shelling per cent. The traits, ear weight and shelling<br />

per cent with high direct effect also had positive<br />

correlation with seed yield while days to 50% tasseling<br />

had significant negative correlation with seed yield.<br />

Days to 50 per cent tasseling had negative indirect<br />

effects through days to 50 per cent silking, ear height,<br />

email: vijay.kk410@gmail.com<br />

153

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